Human-centered computing

Human-centered computing (HCC) studies the design, development, and deployment of mixed-initiative human-computer systems. It is emerged from the convergence of multiple disciplines that are concerned both with understanding human beings and with the design of computational artifacts.[1] Human-centered computing is closely related to human-computer interaction and information science. Human-centered computing is usually concerned with systems and practices of technology use while human-computer interaction is more focused on ergonomics and the usability of computing artifacts and information science is focused on practices surrounding the collection, manipulation, and use of information.

HCC aims at bridging the existing gaps between the various disciplines involved with the design and implementation of computing systems that support human's activities.[1] Meanwhile, it is a set of methodologies that apply to any field that uses computers in applications in which people directly interact with devices or systems that use computer technologies.

HCC facilitates the design of effective computer systems that take into account personal, social, and cultural aspects and addresses issues such as information design, human information interaction, human-computer interaction, human-human interaction, and the relationships between computing technology and art, social, and cultural issues.[1]

The National Science Foundation (NSF) defines the trends of HCC research as "a three dimensional space comprising human, computer, and environment."[2] According to the NSF, the human dimension ranges from research that supports individual needs, through teams as goal-oriented groups, to society as an unstructured collection of connected people. The computer dimension ranges from fixed computing devices, through mobile devices, to computational systems of visual/audio devices that are embedded in the surrounding physical environment. The environment dimension ranges from discrete physical computational devices, through mixed reality systems, to immersive virtual environments.[2] Some examples of topics in the field are listed below.

Multimedia and multi-modal interfaces in which combinations of speech, text, graphics, gesture, movement, touch, sound, etc. are used by people and machines to communicate with one another.

Intelligent interfaces and user modeling, information visualization, and adaptation of content to accommodate different display capabilities, modalities, bandwidth and latency.

Multi-agent systems that control and coordinate actions and solve complex problems in distributed environments in a wide variety of domains, such as disaster response teams, e-commerce, education, and successful aging.

Definition of semantic structures for multimedia information to support cross-modal input and output.

Specific solutions to address the special needs of particular communities.

Collaborative systems that enable knowledge-intensive and dynamic interactions for innovation and knowledge generation across organizational boundaries, national borders, and professional fields.

Novel methods to support and enhance social interaction, including innovative ideas like social orthotics, affective computing, and experience capture.

Studies of how social organizations, such as government agencies or corporations, respond to and shape the introduction of new information technologies, especially with the goal of improving scientific understanding and technical design.

Human-centered systems (HCS) are systems designed for human-centered computing. HCS focuses on the design of interactive systems as they relate to human activities.[5] According to Kling et al., the Committee on Computing, Information, and Communication of the National Science and Technology Council, identified human-centered systems, or HCS, as one of five components for a High Performance Computing Program.[6] Human-centered systems can be referred to in terms of human-centered automation. According to Kling et al., HCS refers to "systems that are:

In addition, Kling et al. defines four dimensions of human-centeredness that should be taken into account when classifying a system: systems that are human centered must analyze the complexity of the targeted social organization, and the varied social units that structure work and information; human centeredness is not an attribute of systems, but a process in which the stakeholder group of a particular system assists in evaluating the benefit of the system; the basic architecture of the system should reflect a realistic relationship between humans and machines; the purpose and audience the system is designed for should be an explicit part of the design, evaluation, and use of the system.[6]

The human-centered activities in multimedia, or HCM, can be considered as follows according to:[7] media production, annotation, organization, archival, retrieval, sharing, analysis, and communication, which can be clustered into three areas: production, analysis, and interaction.

Multimedia production is the human task of creating media.[8] For instance, photographing, recording audio, remixing, etc. It is important that all aspects of media production concerned should directly involve humans in HCM. There are two main characteristics of multimedia production. The first is culture and social factors. HCM production systems should consider cultural differences and be designed according to the culture in which they will be deployed. The second is to consider human abilities. Participants involved in HCM production should be able to complete the activities during the production process.

Multimedia analysis can be considered as a type of HCM applications which is the automatic analysis of human activities and social behavior in general. There is a broad area of potential relevant uses from facilitating and enhancing human communications, to allowing for improved information access and retrieval in the professional, entertainment, and personal domains.

Multimedia interaction can be considered as the interaction activity area of HCM. It is paramount to understand both how humans interact with each other and why, so that we can build systems to facilitate such communication and so that people can interact with computers in natural ways. To achieve natural interaction, cultural differences and social context are primary factors to consider, due to the potential different cultural backgrounds. For instance, a couple of examples include: face-to-face communications where the interaction is physically located and real-time; live-computer mediated communications where the interaction is physically remote but remains real-time; and non-real time computer-mediated communications such as instant SMS, email, etc.

Information architects mainly work to understand user and business needs in order to organize information to best satisfy these needs. Specifically, information architects often act as a key bridge between technical and creative development in a project team. Areas of interest in IA include search schemas, metadata, and taxonomy.[9]

The Human-Centered Computing (HCC) group at NASA/Ames Computational Sciences Division is conducting research at Haughton as members of the Haughton-Mars Project (HMP) to determine, via an analog study, how we will live and work on Mars.[10]

HMP/Carnegie Mellon University (CMU) Field Robotics Experiments—HCC is collaborating with researchers on the HMP/CMU field robotics research program at Haughton to specify opportunities for robots assisting scientists. Researchers in this project has carried out a parallel investigation that documents work during traverses. A simulation module has been built, using a tool that represents people, their tools, and their work environment, that will serve as a partial controller for a robot that assist scientists in the field work in mars. When it comes to take human, computing and environment all into consideration, theory and techniques in HCC filed will be the guideline.

Ethnography of Human Exploration of Space—HCC lab is carrying out an ethnographic study of scientific field work, covering all aspects of a scientist's life in the field. This study involves observing as participants at Haughton and writing about HCC lab`s experiences. HCC lab then look for patterns in how people organize their time, space, and objects and how they relate to each other to accomplish their goals. In this study, HCC lab is focusing on learning and conceptual change.